Profiling e-Science infrastructures with kernel and application benchmarks

Clematis, Andrea; D’Agostino, Daniele; Galizia, Antonella; Quarati, Alfonso

doi:10.1504/ijguc.2014.060204

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Benchmarks Characterizing Resource Performance1

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“…For the second, we realised a lightweight version of the application [16], characterized by a reduced computational cost, but still capable to maintain a representative run of the real application (ISO). A deep discussion about the definition and effectiveness of a two-level benchmark methodology has been presented in [17].…”

Section: Benchmarks Characterizing Resource Performancementioning

confidence: 99%

Influences between Performance Based Scheduling and Service Level Agreements

Galizia

Quarati

Schiffers

et al. 2012

Euro-Par 2011: Parallel Processing Workshops

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Abstract. The allocation of resources to jobs running on e-Science infrastructures is a key issue for scientific communities. In order to provide a better efficiency of computational jobs we propose an SLA-aware architecture. The core of this architecture is a scheduler relying on resource performance information. For performance characterization we propose a two-level benchmark that includes tests corresponding to specific e-Science applications. In order to evaluate the proposal we present simulation results for the proposed architecture.

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Section: Benchmarks Characterizing Resource Performancementioning

confidence: 99%